Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2006-07-15 10:30:37	ga_ls7e_ard_3-0-0_104069_2006-07-15_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-07-17 10:18:14	ga_ls7e_ard_3-0-0_102069_2006-07-17_final
2006-07-17 10:18:38	ga_ls7e_ard_3-0-0_102070_2006-07-17_final
2006-07-18 11:01:54	ga_ls7e_ard_3-0-0_109070_2006-07-18_final
2006-07-20 10:49:31	ga_ls7e_ard_3-0-0_107070_2006-07-20_final
2006-10-31 10:55:17	ga_ls7e_ard_3-0-0_108069_2006-10-31_final
2006-10-31 10:55:41	ga_ls7e_ard_3-0-0_108070_2006-10-31_final
2006-11-01 09:59:40	ga_ls7e_ard_3-0-0_099069_2006-11-01_final
2006-11-01 10:00:04	ga_ls7e_ard_3-0-0_099070_2006-11-01_final
2006-11-02 10:42:57	ga_ls7e_ard_3-0-0_106069_2006-11-02_final
2006-11-02 10:43:21	ga_ls7e_ard_3-0-0_106070_2006-11-02_final
2006-11-03 09:47:20	ga_ls7e_ard_3-0-0_097069_2006-11-03_final
2006-11-03 09:47:44	ga_ls7e_ard_3-0-0_097070_2006-11-03_final
2006-11-11 10:36:53	ga_ls7e_ard_3-0-0_105069_2006-11-11_final
2006-11-11 10:37:17	ga_ls7e_ard_3-0-0_105070_2006-11-11_final
2006-11-12 09:41:41	ga_ls7e_ard_3-0-0_096070_2006-11-12_final
2006-11-13 10:24:33	ga_ls7e_ard_3-0-0_103069_2006-11-13_final
2006-11-13 10:24:57	ga_ls7e_ard_3-0-0_103070_2006-11-13_final
2006-11-14 11:08:14	ga_ls7e_ard_3-0-0_110070_2006-11-14_final
2006-11-16 10:55:29	ga_ls7e_ard_3-0-0_108069_2006-11-16_final
2006-11-16 10:55:53	ga_ls7e_ard_3-0-0_108070_2006-11-16_final
2006-11-25 10:49:48	ga_ls7e_ard_3-0-0_107070_2006-11-25_final
2006-11-28 09:41:51	ga_ls7e_ard_3-0-0_096070_2006-11-28_final
2006-11-29 10:24:43	ga_ls7e_ard_3-0-0_103069_2006-11-29_final
2006-11-29 10:25:07	ga_ls7e_ard_3-0-0_103070_2006-11-29_final
2006-11-30 11:08:23	ga_ls7e_ard_3-0-0_110070_2006-11-30_final
2006-12-06 10:30:57	ga_ls7e_ard_3-0-0_104069_2006-12-06_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2006-12-08 10:18:36	ga_ls7e_ard_3-0-0_102069_2006-12-08_final
2006-12-08 10:19:00	ga_ls7e_ard_3-0-0_102070_2006-12-08_final
2006-12-09 11:02:16	ga_ls7e_ard_3-0-0_109070_2006-12-09_final
2006-12-19 10:00:07	ga_ls7e_ard_3-0-0_099069_2006-12-19_final
2006-12-21 09:47:46	ga_ls7e_ard_3-0-0_097069_2006-12-21_final
2006-12-21 09:48:09	ga_ls7e_ard_3-0-0_097070_2006-12-21_final
2007-02-06 10:43:34	ga_ls7e_ard_3-0-0_106069_2007-02-06_final
2007-02-06 10:43:58	ga_ls7e_ard_3-0-0_106070_2007-02-06_final
2007-02-08 10:31:13	ga_ls7e_ard_3-0-0_104069_2007-02-08_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-02-10 10:18:52	ga_ls7e_ard_3-0-0_102069_2007-02-10_final
2007-02-10 10:19:16	ga_ls7e_ard_3-0-0_102070_2007-02-10_final
2018-08-17 10:39:22	ga_ls7e_ard_3-0-0_104069_2018-08-17_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2018-08-19 10:26:58	ga_ls7e_ard_3-0-0_102069_2018-08-19_final
2018-08-19 10:27:22	ga_ls7e_ard_3-0-0_102070_2018-08-19_final
2018-08-20 11:10:36	ga_ls7e_ard_3-0-0_109070_2018-08-20_final
2018-08-25 09:50:10	ga_ls7e_ard_3-0-0_096070_2018-08-25_final
2018-08-26 10:33:00	ga_ls7e_ard_3-0-0_103069_2018-08-26_final
2018-08-26 10:33:24	ga_ls7e_ard_3-0-0_103070_2018-08-26_final
2018-08-27 11:16:38	ga_ls7e_ard_3-0-0_110070_2018-08-27_final
2018-09-08 10:01:50	ga_ls7e_ard_3-0-0_098069_2018-09-08_final
2018-09-09 10:45:04	ga_ls7e_ard_3-0-0_105069_2018-09-09_final
2018-09-09 10:45:28	ga_ls7e_ard_3-0-0_105070_2018-09-09_final
2019-03-03 09:57:05	ga_ls7e_ard_3-1-0_098069_2019-03-03_final
2019-03-03 09:57:29	ga_ls7e_ard_3-1-0_098070_2019-03-03_final
2019-03-04 10:40:19	ga_ls7e_ard_3-1-0_105069_2019-03-04_final
2019-03-04 10:40:43	ga_ls7e_ard_3-1-0_105070_2019-03-04_final
2019-03-06 10:28:18	ga_ls7e_ard_3-1-0_103070_2019-03-06_final
2019-03-07 11:11:31	ga_ls7e_ard_3-1-0_110070_2019-03-07_final
2019-03-09 10:58:42	ga_ls7e_ard_3-1-0_108069_2019-03-09_final
2019-03-10 10:03:03	ga_ls7e_ard_3-1-0_099069_2019-03-10_final
2019-03-10 10:03:27	ga_ls7e_ard_3-1-0_099070_2019-03-10_final
2019-03-11 10:46:16	ga_ls7e_ard_3-1-0_106069_2019-03-11_final
2019-03-11 10:46:40	ga_ls7e_ard_3-1-0_106070_2019-03-11_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-15 10:21:25	ga_ls7e_ard_3-1-0_102069_2019-03-15_final
2019-06-09 09:41:37	ga_ls7e_ard_3-0-0_096070_2019-06-09_final
2019-06-10 10:24:27	ga_ls7e_ard_3-0-0_103069_2019-06-10_final
2019-06-11 11:08:04	ga_ls7e_ard_3-0-0_110070_2019-06-11_final
2019-06-13 10:55:14	ga_ls7e_ard_3-0-0_108069_2019-06-13_final
2019-06-13 10:55:38	ga_ls7e_ard_3-0-0_108070_2019-06-13_final
2019-06-24 10:36:18	ga_ls7e_ard_3-0-0_105069_2019-06-24_final
2019-06-24 10:36:42	ga_ls7e_ard_3-0-0_105070_2019-06-24_final
2019-06-25 09:41:02	ga_ls7e_ard_3-0-0_096070_2019-06-25_final
2019-06-26 10:23:52	ga_ls7e_ard_3-0-0_103069_2019-06-26_final
2019-06-26 10:24:15	ga_ls7e_ard_3-0-0_103070_2019-06-26_final
2019-06-29 10:54:39	ga_ls7e_ard_3-0-0_108069_2019-06-29_final
2019-06-30 09:58:59	ga_ls7e_ard_3-0-0_099069_2019-06-30_final
2019-08-10 09:51:11	ga_ls7e_ard_3-0-0_098069_2019-08-10_final
2019-08-10 09:51:35	ga_ls7e_ard_3-0-0_098070_2019-08-10_final
2019-08-11 10:34:24	ga_ls7e_ard_3-0-0_105069_2019-08-11_final
2019-08-12 09:39:08	ga_ls7e_ard_3-0-0_096070_2019-08-12_final
2019-09-07 10:14:42	ga_ls7e_ard_3-1-0_102069_2019-09-07_final
2019-09-07 10:15:06	ga_ls7e_ard_3-1-0_102070_2019-09-07_final
2019-09-14 10:20:35	ga_ls7e_ard_3-1-0_103069_2019-09-14_final
2019-09-14 10:20:59	ga_ls7e_ard_3-1-0_103070_2019-09-14_final
2019-09-15 11:04:11	ga_ls7e_ard_3-1-0_110070_2019-09-15_final
2019-09-28 10:32:19	ga_ls7e_ard_3-1-0_105069_2019-09-28_final
2019-09-30 10:19:53	ga_ls7e_ard_3-1-0_103069_2019-09-30_final
2019-11-08 10:24:23	ga_ls7e_ard_3-1-0_104069_2019-11-08_final
2019-11-10 10:11:56	ga_ls7e_ard_3-1-0_102069_2019-11-10_final
2019-11-10 10:12:20	ga_ls7e_ard_3-1-0_102070_2019-11-10_final
2019-11-14 09:47:02	ga_ls7e_ard_3-1-0_098069_2019-11-14_final
2019-11-15 10:30:15	ga_ls7e_ard_3-1-0_105069_2019-11-15_final
2019-12-15 10:41:33	ga_ls7e_ard_3-1-0_107070_2019-12-15_final
2019-12-16 09:45:28	ga_ls7e_ard_3-1-0_098069_2019-12-16_final
2019-12-17 10:28:41	ga_ls7e_ard_3-1-0_105069_2019-12-17_final
2019-12-20 10:59:50	ga_ls7e_ard_3-1-0_110070_2019-12-20_final
2019-12-22 10:46:58	ga_ls7e_ard_3-1-0_108069_2019-12-22_final
2019-12-31 10:40:43	ga_ls7e_ard_3-1-0_107070_2019-12-31_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years